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AI/ML Remote

Product Security Engineer

Job Overview

As an Offensive Security Engineer on the Application Security team within Security, you'll pioneer how Coinbase uses frontier AI models to scale vulnerability discovery, red team AI systems, and automate security workflows.

Key points

  1. Build, deploy, and maintain custom security scanners that leverage frontier models to detect vulnerabilities at scale across Coinbase's product surface.

  2. Lead red teaming efforts against internal AI systems, including jailbreak testing, prompt injection analysis, and tool abuse simulation.

  3. Develop AI-driven automation for vulnerability triage, validation, and remediation workflows to accelerate the bug bounty and vulnerability response pipelines.

  4. Partner with engineering teams to prioritize, remediate, and verify fixes for critical vulnerabilities discovered through AI-augmented and manual testing.

  5. Hands-on experience using LLMs or frontier models to automate security tasks, scale vulnerability research, or build security scanners.

  6. Deep understanding of common vulnerability classes (OWASP Top 10, SANS Top 25) and proven track record identifying and exploiting them in production environments.

  7. Proficiency in at least one programming language (Python, Go, or similar) with experience writing production-grade security tooling.

  8. Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Skills

PythonLLMsGenerative AIManual Testing

Experience: Mid-level · 3+ years

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